We are seeking a hands-on Senior Data Engineer to support Phase 0 data discovery, profiling, mapping, and engineering handoff activities for a large-scale customer data and marketing transformation initiative. This role will work closely with Data Strategists, Solution Architects, and business stakeholders to analyze enterprise data sources, define canonical data models, and prepare high-quality engineering deliverables for implementation in Databricks. The ideal candidate has strong expertise in Databricks, SQL, Python, and AWS, along with experience in data modeling, data quality, and customer identity management.

• Rate Range: $65–80/hr on W2

Responsibilities:

 

 

• Inventory priority source systems, entities, identifiers, fields, relationships, and data quality issues.

• Perform data discovery, profiling, and analysis across enterprise data sources.

• Assess data completeness, duplicate patterns, freshness, lineage, conflicts, and source reliability.

• Develop source-to-target mappings for the canonical marketing data model.

• Translate identity resolution rules, survivorship logic, source hierarchy, field ownership, account relationships, and exception handling into engineering-ready documentation.

• Document data gaps, assumptions, dependencies, risks, and unresolved issues for engineering teams.

• Define data quality thresholds, acceptance criteria, match confidence metrics, and engineering handoff requirements.

• Collaborate with Data Strategists, Solution Architects, and client engineering teams to ensure successful implementation in Databricks.

• Support data engineering best practices and contribute to scalable, high-quality data solutions.

Required Qualifications:

• 7+ years of experience in Data Engineering, Data Integration, or Data Warehousing.

• Strong hands-on experience with Databricks, SQL, Python, and AWS.

• Experience with data profiling, data discovery, and source system analysis.

• Strong understanding of data modeling, source-to-target mapping, and data transformation.

• Experience documenting engineering requirements and preparing implementation-ready technical artifacts.

• Strong analytical, troubleshooting, and problem-solving skills.

• Excellent communication and stakeholder collaboration abilities.

Required Skills:

• Databricks

• SQL

• Python

• AWS

• Data Discovery & Profiling

• Source-to-Target Mapping

• Data Modeling

• Data Quality Assessment

• Customer Identity Resolution

• Data Lineage

• Requirements Documentation

• Stakeholder Collaboration

Technical Skills:

• Databricks

• SQL

• Python

• AWS

• CRM Data

• Eloqua

• Marketing Data Models

• Data Mapping

• Data Quality & Validation

• Identity Resolution

• ETL/ELT Concepts

Preferred Qualifications:

• Experience with customer data platforms (CDPs) or marketing data ecosystems.

• Knowledge of identity resolution, golden record, and master data management concepts.

• Experience working with enrichment platforms, analytics data, web data, event data, or 6Sense.

• Experience supporting enterprise marketing or customer analytics initiatives.

If you meet the required qualifications and are interested in this role, please apply today. 

The Solomon Page Distinction

Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve.

About Solomon Page

Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook, and LinkedIn.

Opportunity Awaits.
 

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